ABSTRACT: The rapid proliferation of Internet of Things (IoT) devices in healthcare systems has introduced critical security challenges, particularly in resource-constrained environments typical of ...

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...

Abstract: ECG signals are vital for diagnosing cardiovascular diseases, but artifacts like power line interference, baseline wander, and motion artifacts hinder accurate interpretation. This study ...

The Electrocardiogram Machine is a modern, health-focused web application designed to visualize electrocardiogram (ECG) data, which measures the heart’s electrical activity of the heart. Users can ...

Abstract: Electrocardiogram (ECG) is a primary noninvasive tool for monitoring cardiac conditions. Computer-assisted tools are the cutting edge technology to identify minute changes in ECG waveform.